SERP analysis tools used for SEO and ranking?

A relatively new tool can analyze search engine results pages (SERPs) and provide recommendations based on statistical analysis of similarities shared between top-ranked sites. But some people in the search community expressed doubts about the usefulness of this tool.

SERP correlation analysis and causality

This kind of analysis is called search engine result page (SERP) correlation analysis. SERP analysis is a study that analyzes Google search results to identify factors in ranking webpages.

The SEO community has found surprising correlations in the past by studying search results.

An analysis found that the highest-ranking websites tend to have a lot of favorite Facebook pages.

Of course, because of Facebook’s likes, the highest-ranked websites are not the highest-ranked websites.

Just because the top-ranked sites share certain features does not mean that these features make them rank higher.

And lack of reality the reason between Common factor with Actual reason Why these sites rank high, this can be seen as a problem.

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Just because the pages ranked in the search results share a word count, a keyword density or share a common keyword does not mean that these word counts, keyword density and keywords lead to these page rankings.

SERP is no longer ten blue links

Another problem with analyzing the top ten search results is that the search results are no longer a list of ten ranking pages and ten blue links.

Bill Slaughty (@bill_slawskiGoFishDigital lacks confidence in the relevance analysis of search results.

He says,

“The data in the relevant research may be cleared so that “one box” and “selected snippets” will not appear in it, but it has been a long time since we lived in a world of ten blue links.”

Misleading analysis?

I asked an AI-based content optimization company (@MarketMuseCo) Information about SERP analysis tools.

They answered:

“Optimization tools that search for SERPs and use term frequency calculations to tell you what to write will mislead you at best.

Most of these tools crawl content from the top 10-30 search results, extract common terms, and use the Google AdWords Keyword Planner in Google’s public API to score their relevance.

Adding text to your content from these types of tools will never bring comprehensive, professional written content, which over time will become a competitive advantage for your business. “

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SERP AnalysisTools and LSI keywords

Some of these SERP analysis tools promote outdated concepts, such as LSI keywords that are important for ranking in Google.

As we all know, this concept has nothing to do with ranking in Google search results.

User reviews of SERP analysis tools

Nigel Mordaunt, Director of Charlotte, Consultant of State Digital Group (NC) (@StatusCLT)Tell me that he tried the SERP analysis tool and was not satisfied with the result.

He expressed his views on these tools based on his own hands-on experience:

“Using these tools does not increase reader satisfaction. I think this is the core of on-page SEO. It further promotes the style of imitating content, imitating 1,000 other sites in your market segment.”

Jeff Ferguson (@CountXero), a marketer with more than 20 years of experience, Amplitude Digital (@AmplitudeAgency) And UCLA’s adjunct professor put forward his own views based on his experience with such tools.

Jeff comments:

“I have played some of these games before and can see its appeal. However, their reasons for doing something are often based on SEO myths, outdated information, or simply fabricated.

Most of them are good at counting the word count of the content of a given keyword, but the word count is not a ranking factor. Others are pushing things like “LSI keywords”, which don’t actually exist in Google Universe. “

More data does not lead to better results

Some of these tools will analyze search results that exceed the top ten. They may analyze the top 30 and higher rankings.

But more data does not translate into better analysis. It is generally believed that more data will lead to better analysis.

According to a data science consultant Michael Grogan write TowardsDataScience.com:

“If a lot of data has nothing to do with what you want to predict, then more data is better. If the training set does not represent reality, then it may even mislead the machine learning model.

…Does it include certain data related to the problem we are trying to solve? …It should not be assumed that blindly introducing more data into the model will improve its accuracy. “

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Wikipedia There is an entry about accuracy and precision, where accuracy refers to how close the experiment or analysis is to the facts, and precision is the repeatability of the results, regardless of whether the results are accurate.

“For example, if the experiment contains systematic errors, increasing the sample size will generally increase accuracy, but not accuracy. The result will be consistent but inaccurate results from a defective experiment.”

Accuracy is an issue with SERP analysis, because a typical analysis does not consider all variables that cause a web page to rank in search results.

The reason they did not consider all the variables is because no one outside of Google knows what these variables are.

Analyzing search results will produce incorrect results

Analyzing search results always produces suspicious results. You can analyze the results and pick out things that are similar to possible search intents.

But claiming to determine the cause of the site’s ranking is problematic.

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I mentioned to Bill Slawski that I was writing an article about SERP analysis tools, and he joked:

“After reading the website, I laughed. Word count has never been a signal of Google ranking. There is no keyword density.”

Everyone has their own views on this tool. Some people may find value in it.

You need to research and determine whether this tool is useful for you.

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